├── .ci ├── ci.yaml ├── linux-steps.yaml └── macos-steps.yaml ├── .clang-format ├── .github └── workflows │ ├── auto-approve.yml │ ├── binder-badge.yaml │ ├── stale.yml │ └── stickers.yml ├── .gitignore ├── LICENSE.txt ├── README.md ├── appveyor.yml ├── binder ├── apt.txt ├── environment.yml ├── kernel.json ├── postBuild └── xeus-cling.hpp ├── cli └── spam_classification │ ├── spam_classification.sh │ └── tutorial.md ├── cpp ├── decision_tree │ └── loan_default_prediction │ │ ├── Makefile │ │ └── loan-default-prediction.cpp ├── kmeans │ ├── dominant-colors │ │ ├── Makefile │ │ └── dominant-colors.cpp │ └── pima_indians_diabetes_clustering │ │ ├── Makefile │ │ └── pima-indians-diabetes.cpp ├── lstm │ ├── dga_detection │ │ ├── Makefile │ │ ├── lstm_dga_detection_predict.cpp │ │ └── lstm_dga_detection_train.cpp │ ├── electricity_consumption │ │ ├── Makefile │ │ ├── lstm_electricity_consumption.cpp │ │ └── tutorial.txt │ └── stock_prediction │ │ ├── Makefile │ │ ├── lstm_stock_prediction.cpp │ │ └── tutorial.txt ├── neural_networks │ ├── bodyfat_regression │ │ ├── Makefile │ │ └── nn_regression.cpp │ ├── cifar10_cnn │ │ ├── Makefile │ │ ├── cifar_eval.cpp │ │ ├── cifar_train.cpp │ │ └── periodic_save.hpp │ ├── mnist_batch_norm │ │ ├── Makefile │ │ └── mnist_batch_norm.cpp │ ├── mnist_cnn │ │ ├── Makefile │ │ └── mnist_cnn.cpp │ ├── mnist_cnn_f32 │ │ ├── Makefile │ │ └── mnist_cnn_f32.cpp │ ├── mnist_simple │ │ ├── Makefile │ │ └── mnist_simple.cpp │ ├── mnist_simple_f32 │ │ ├── Makefile │ │ └── mnist_simple_f32.cpp │ └── mnist_vae_cnn │ │ ├── Makefile │ │ ├── generate_images.py │ │ ├── latent │ │ └── allSamples.jpg │ │ ├── mnist_vae_cnn.cpp │ │ ├── samples_posterior │ │ └── allSamples.jpg │ │ ├── samples_prior │ │ ├── 2dLatent.jpg │ │ ├── allLatent.jpg │ │ └── allSamples.jpg │ │ ├── vae_generate.cpp │ │ └── vae_utils.hpp └── random_forest │ ├── Makefile │ └── covertype-rf.cpp ├── embedded ├── crosscompile_random_forest │ ├── CMake │ │ ├── ConfigureCrossCompile.cmake │ │ ├── crosscompile-arch-config.cmake │ │ ├── crosscompile-toolchain.cmake │ │ └── mlpack.cmake │ ├── CMakeLists.txt │ └── main.cpp └── embedded_cmake_template │ ├── CMake │ ├── ConfigureCrossCompile.cmake │ ├── crosscompile-arch-config.cmake │ ├── crosscompile-toolchain.cmake │ └── mlpack.cmake │ ├── CMakeLists.txt │ ├── README.md │ └── main.cpp ├── jupyter_notebook ├── PCA │ ├── breast_cancer_wisconsin │ │ ├── breast-cancer-wisconsin-cpp.ipynb │ │ └── breast-cancer-wisconsin-py.ipynb │ └── cifar10 │ │ ├── cifar-10-cpp.ipynb │ │ └── cifar-10-py.ipynb ├── adaboost │ └── graduate_admission_classification │ │ ├── graduate-admission-classification-cpp.ipynb │ │ └── graduate-admission-classification-py.ipynb ├── cf │ └── movie_lens_prediction │ │ ├── movie-lens-cpp.ipynb │ │ └── movie-lens-py.ipynb ├── dbscan │ └── contact_tracing_clustering │ │ ├── contact-tracing-cpp.ipynb │ │ └── contact_tracing_py.ipynb ├── decision_tree │ └── loan_default_prediction │ │ ├── loan-default-prediction-cpp.ipynb │ │ └── loan-default-prediction-py.ipynb ├── kmeans │ ├── customer_personality_clustering │ │ └── customer_personality_clustering_py.ipynb │ ├── dominant-colors │ │ └── dominant-colors-cpp.ipynb │ └── pima_indians_diabetes_clustering │ │ └── pima-indians-diabetes-cpp.ipynb ├── linear_regression │ ├── airbnb_price_prediction │ │ └── airbnb_price_prediction_regression_py.ipynb │ ├── avocado_price_prediction │ │ ├── avocado_price_prediction_cpp.ipynb │ │ └── avocado_price_prediction_py.ipynb │ ├── california_housing_price_prediction │ │ ├── california.png │ │ ├── california_housing_price_prediction_cpp.ipynb │ │ └── california_housing_prices_predictions_python.ipynb │ └── salary_prediction │ │ ├── salary-prediction-cpp.ipynb │ │ └── salary-prediction-py.ipynb ├── logistic_regression │ └── student_admission_regression │ │ └── student-admission-cpp.ipynb ├── moea │ ├── portfolio_optimization │ │ └── portfolio-optimization-cpp.ipynb │ └── rocket_injector_design │ │ ├── media │ │ ├── combustion.gif │ │ ├── design.jpg │ │ ├── objectives.jpg │ │ └── unstable.gif │ │ └── rocket-injector-design-cpp.ipynb ├── multi_technique │ ├── iris-classification │ │ └── iris-classification-py.ipynb │ └── rain_in_australia_classification │ │ └── rain_in_australia_classification_py.ipynb ├── naive_bayes │ └── microchip_quality_control │ │ ├── microchip-quality-control-cpp.ipynb │ │ └── microchip-quality-control-py.ipynb ├── random_forest │ ├── forest_covertype_prediction │ │ ├── covertype-rf-cpp.ipynb │ │ ├── covertype-rf-go.ipynb │ │ ├── covertype-rf-jl.ipynb │ │ └── covertype-rf-py.ipynb │ └── rainfall_prediction │ │ ├── rainfall-prediction-cpp.ipynb │ │ └── rainfall-prediction-with-py.ipynb └── reinforcement_learning_gym │ ├── README.md │ ├── acrobot_dqn │ ├── Makefile │ ├── acrobot_dqn.cpp │ └── acrobot_dqn.ipynb │ ├── bipedal_walker_sac │ ├── Makefile │ ├── bipedal_walker_sac.cpp │ ├── bipedal_walker_sac.ipynb │ ├── sac_policy.txt │ └── sac_q.txt │ ├── cartpole_dqn │ ├── Makefile │ ├── cartpole_dqn.cpp │ └── cartpole_dqn.ipynb │ ├── gym │ ├── CMakeLists.txt │ ├── README.md │ ├── client.hpp │ ├── environment.hpp │ ├── environment_impl.hpp │ ├── example.cpp │ ├── messages.hpp │ ├── monitor.hpp │ ├── monitor_impl.hpp │ ├── parser.hpp │ ├── parser_impl.hpp │ ├── pjson │ │ └── pjson.h │ ├── space.hpp │ └── space_impl.hpp │ ├── lunar_lander_dqn │ ├── Makefile │ ├── lunar_lander_dqn.cpp │ └── lunar_lander_dqn.ipynb │ ├── mountain_car_ddpg │ ├── Makefile │ └── mountain_car_ddpg.cpp │ ├── mountain_car_dqn │ ├── Makefile │ ├── mountain_car_dqn.cpp │ └── mountain_car_dqn.ipynb │ ├── pendulum_dqn │ ├── Makefile │ ├── pendulum_dqn.cpp │ └── pendulum_dqn.ipynb │ ├── pendulum_sac │ ├── Makefile │ ├── pendulum_sac.cpp │ └── pendulum_sac.ipynb │ └── pendulum_td3 │ ├── Makefile │ └── pendulum_td3.cpp ├── scripts ├── download_data_set.py ├── fix_style.sh └── jupyter-conda-setup.sh └── utils ├── front.hpp ├── front.py ├── heatmap.hpp 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